AI Model Comparator
Compare GPT-4o, Claude 3.5, Gemini 1.5, Llama 3 side by side
GPT-4o
General-purpose tasks, coding assistants, complex reasoning
Claude 3.5 Sonnet
Long documents, writing, nuanced reasoning, safe outputs
Gemini 1.5 Pro
Entire codebase analysis, very long documents, video understanding
What is AI Model Comparator?
The AI Model Comparator gives you a side-by-side comparison of the most popular large language models — GPT-4o, Claude 3.5 Sonnet, Gemini 1.5 Pro, Llama 3, and more. Compare context windows, pricing per million tokens, multimodal capabilities, speed, and best use cases to choose the right model for your project without reading through multiple documentation sites.
Why Use DevBench AI Model Comparator?
DevBench AI Model Comparator runs entirely in your browser — your data never leaves your device. No sign-up, no limits, no watermarks, completely free forever.
How to Use AI Model Comparator
- Select up to 4 models using the toggle buttons at the top
- Switch between Cards view (detailed) and Table view (quick comparison)
- Check the context window to see how much text each model can process
- Compare input and output pricing per million tokens for cost planning
- Read the Best For section to match models to your specific use case
- Click API Docs to go directly to each provider documentation
Examples
- Compare GPT-4o vs Claude 3.5 Sonnet for a coding assistant project
- Find the cheapest model that supports a 100K token context window
- Decide between Gemini Flash and GPT-3.5 Turbo for a high-volume pipeline
- Check which models support vision/multimodal inputs for an image analysis app
- Compare open-source Llama 3 vs commercial models for a privacy-sensitive use case
Use Cases
- Developers choosing an LLM for a new AI-powered application
- Teams evaluating AI model costs before committing to a provider
- Architects designing RAG pipelines who need to match context window to document size
- Startups comparing free tiers and pricing before scaling
- Researchers comparing model capabilities for benchmarking
- Product managers presenting AI model options to stakeholders
- Anyone switching from one AI provider to another
Frequently Asked Questions
Which AI model is the best overall?
There is no single best model — it depends on your use case. GPT-4o is the best general-purpose model for coding and reasoning. Claude 3.5 Sonnet excels at long documents and writing quality. Gemini 1.5 Pro is unmatched for very long context (1M tokens). Llama 3 is best when you need a free, self-hosted, privacy-preserving option.
How is pricing calculated for AI models?
AI models charge per token — separately for input tokens (your prompt) and output tokens (the model response). Pricing is shown per 1 million tokens. For example, GPT-4o at $5/1M input tokens means processing 1,000 tokens costs $0.005. Always check the official provider pricing page as rates change frequently.
What is a context window and why does it matter?
The context window is the maximum number of tokens a model can see at once — including your prompt, conversation history, and the model output. A larger context window lets you send longer documents, more conversation history, or entire codebases. Gemini 1.5 Pro leads with 1 million tokens (roughly 750,000 words).
Are the prices shown accurate?
Prices are approximate as of 2025 and are meant for comparison purposes. AI providers update pricing regularly. Always verify current pricing on the official provider sites: platform.openai.com for OpenAI, console.anthropic.com for Claude, and ai.google.dev for Gemini.
What does multimodal mean?
Multimodal means the model can process more than just text — typically images, and in some cases audio or video. GPT-4o, Claude 3.5 Sonnet, and Gemini 1.5 Pro all support image inputs. This is useful for apps that analyze screenshots, diagrams, charts, or photos alongside text.